煤炭工程 ›› 2025, Vol. 57 ›› Issue (7): 203-209.doi: 10. 11799/ ce202507027

• 研究探讨 • 上一篇    下一篇

基于DEA的煤炭主导型区域工业碳排放效率评价研究

彭庆庆,吉嫦婧,王翔宇,等   

  1. 1. 国家开发投资集团有限公司,北京 100034

    2. 上海科技大学2060研究院,上海 201210

    3. 生态环境部环境发展中心,北京 100029

    4. 中南林业科技大学 生命环境学院,湖南 长沙 410004

  • 收稿日期:2025-03-07 修回日期:2025-06-25 出版日期:2025-07-11 发布日期:2025-08-14
  • 通讯作者: 王翔宇 E-mail:2513678851@qq.com

Evaluation of industrial carbon emission efficiency in coal-dominated region based on DEA theory

  • Received:2025-03-07 Revised:2025-06-25 Online:2025-07-11 Published:2025-08-14
  • Contact: Xiangyu Wang E-mail:2513678851@qq.com

摘要:

提升煤炭主导型区域工业碳排放效率,是减少对化石能源依赖、推动煤炭清洁高效利用以及可再生能源开发,进而实现经济低碳转型与区域可持续发展的重要路径。而量化该类区域工业碳排放效率及其影响因素是开展效率改善工作的必要前提。研究选取我国中部地区煤炭主导型省份及其下辖的若干煤炭主导型市为样本,运用数据包络分析(DEA)模型评估工业碳排放效率及变化趋势,并结合Tobit回归模型深入挖掘影响碳排放效率的关键因素。研究结果表明,尽管以煤炭为主的能源结构对碳排放效率有较强的抑制作用,但该区域规模以上工业碳排放效率整体呈上升趋势;规模效应可降低单位产出的碳排放量,对碳排放效率产生积极影响。因此,推动能源结构向低碳化转型、加速产业结构升级及扩大企业规模,是提高煤炭主导型区域工业碳排放效率的有效途径。

关键词:

碳排放效率 , 数据包络分析 , Tobit回归, 能源结构 , Malmquist指数 , 工业低碳转型

Abstract:

Improving the industrial carbon emission efficiency in regions where coal is the main resource can reduce the reliance on fossil energy, promote the clean and efficient utilization of coal and the development and utilization of renewable energy, and is one of the important ways to achieve economic low-carbon transformation and regional sustainable development. Quantifying the industrial carbon emission efficiency and its influencing factors in coal-dominated regions is a necessary prerequisite for achieving efficiency improvement. This study selected a certain province in the central region and several coal-dominated cities and prefectures under its jurisdiction as the research samples. Data enveloping analysis was used to evaluate the carbon emission efficiency and trend, and the Tobit regression model was utilized to deeply explore the key influencing factors of carbon emission efficiency. Research has found that although the energy structure dominated by coal has a strong inhibitory effect on carbon emission efficiency, the overall carbon emission efficiency of industrial scale and above in China's coal-dominated regions still shows an upward trend. The scale effect can reduce the carbon emissions per unit output and have a positive impact on carbon emission efficiency. In addition, promoting the low-carbon transformation of the energy structure, accelerating the upgrading of the industrial structure, and expanding the scale of enterprises all contribute to enhancing the industrial carbon emission efficiency in coal-dominated regions.

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